基于元胞自动机的定向车道服务水平分析模型

Service level analysis model of directional lane based on cellular automata

为了深入了解定向车道这种新型组织方式的应用效果,选取交通流密度、出口拥堵指数、入口变道行为、变道车辆生成率为影响因素,以到车率、平均车速为评价指标,构建元胞自动机仿真分析模型。仿真结果表明,定向车道在高峰时段具有一定的优化作用,但其他情况下优化效果有限,且交通流密度和出口拥堵指数越大时,其服务水平越低。同时,高交通流密度下停车变道和低速变道对服务水平的影响依旧大于常规变道,且不随密度增大向常规变道方案靠近,表明高交通流密度对此类驾驶员的驾驶行为影响较小。常规变道和低速变道条件下,变道车辆的增多对到车率影响较小,而停车变道条件下,到车率会随着变道车辆的增多而降低。

In order to deeply understand the application effect of directional lane which is the new organization mode,traffic flow density,exit congestion index,lane change behavior at the entrance and lane change rate of vehicle generation were selected as the influencing factors,and the arrival rate and average speed were taken as the evaluation indexes to build a cellular automata simulation analysis model.The simulation results show that directional lane has a certain optimization effect in peak hours,but the optimization effect is limited in other cases,and the higher the traffic flow density and the exit congestion index,the lower the service level.At the same time,the impact of lane change at high traffic flow density and low speed on the service level is still greater than the conventional lane change,and does not approach the conventional lane change scheme with the increase of the density,indicating that high traffic flow density has little influence on the driving behavior of such drivers.The increasing number of lane changing vehicles has little influence on arrival rate under normal and low lane changing conditions,while the arrival rate will decrease with the increasing number of lane changing vehicles under stop lane changing conditions.